MuhammadSanan99989/safescan-phi3-mini-intent-gemini

SafeScan Phi-3 Mini — Intent Routing Model

Fine-tuned version of microsoft/Phi-3-mini-4k-instruct for the SafeScan mobile security utility app (Flutter).

What it does

Given a natural language security query, returns a structured JSON object routing the request to the correct SafeScan module.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
import torch

model = AutoModelForCausalLM.from_pretrained("MuhammadSanan99989/safescan-phi3-mini-intent-gemini", torch_dtype=torch.float16, device_map="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("MuhammadSanan99989/safescan-phi3-mini-intent-gemini", trust_remote_code=True)
pipe = pipeline('text-generation', model=model, tokenizer=tokenizer)

prompt = "<|user|>\nCheck if my WiFi is secure<|end|>\n<|assistant|>"
result = pipe(prompt, max_new_tokens=128, do_sample=False)
print(result[0]['generated_text'][len(prompt):])